Geometry-Aware Transformer for Weakly Supervised Semantic Segmentation of Aerial Point Clouds

Aerial point cloud semantic segmentation technology enables intelligent interpretation of three-dimensional geographic information with precise structural representations and surface features. Recent Transformer-based point cloud semantic segmentation methods using multi-layer self-attention mechani...

詳細記述

書誌詳細

主要な著者:	Jiechen Pan, Shuai Xing, Wei Sun, Mofan Dai, Dandi Wang, Lu Zhi
フォーマット:	Artigo
言語:	Inglês
出版事項:	IEEE 2026-01-01
シリーズ:	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
主題:	Aerial point clouds attention mechanism geometric features geometry-aware transformer pseudo-labels weakly-supervised semantic segmentation
オンライン･アクセス:	https://ieeexplore.ieee.org/document/11482746/
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